模糊神經(jīng)網(wǎng)絡(luò)采用matlab編程 o install NEFCON follow these steps: 1. Unpack the tar file NEFCON.TAR into your MATLAB working directory: tar xf NEFCON.TAR 2. Start MATLAB 3. Change to the installation directory. 4. Change to the NEFCON directory. 5. Start the STARTUP M-file to initialize NEFCON.
Web technology is not evolving in comfortable and incremental steps, but i s turbulent, erratic, and often rather uncomfortable. It is estimated that the Internet, arguably the most important part of the new technological environment, has expanded by about 2000 ％ and that is doubling in size every six to ten months. In recent years, the advance in computer and web technologies and the decrease in their cost have expanded the means available to collect and store data. As an intermediate consequence, the amount of information (Meaningful data) stored has been increasing at a very fast pace.
Executing a DTS package is very simple, in its simplest form the execution contains for 3 steps. These 3 steps form the foundation for all more complicated forms for package execution.
This demo nstrates how to use the sequential Monte Carlo algorithm with reversible jump MCMC steps to perform model selection in neural networks. We treat both the model dimension (number of neurons) and model parameters as unknowns. The derivation and details are presented in: Christophe Andrieu, Nando de Freitas and Arnaud Doucet. Sequential Bayesian Estimation and Model Selection Applied to Neural Networks . Technical report CUED/F-INFENG/TR 341, Cambridge University Department of Engineering, June 1999. After downloading the file, type "tar -xf version2.tar" to uncompress it. This creates the directory version2 containing the required m files. Go to this directory, load matlab5 and type "smcdemo1". In the header of the demo file, one can select to monitor the simulation progress (with par.doPlot=1) and modify the simulation parameters.
There are two files in the zip folder. bpsk_spread.m and jakesmodel.m
steps for simulation:
1] Run jakesmodel.m first
2] Then run bpsk_spread.m .
3] Note that during the first run bpsk_spread.m has no rayleigh fading.This is because the corresponding code has been commented
4] The resulting performance is stored in BER_awgn.
5] Now uncomment the Rayleigh Fading code in bpsk_spread.m file.
6] Same time comment BER_awgn (line 112) and uncomment BER_ray variable.
7] Run the simulation.
To compare the perfromances of the receiver using DSSS plot the BER_awgn and BER_ray
This Application Note describes the steps that are required to install and use the Keil Monitor-51 on a
user specific hardware. The Keil Monitor-51 allows you to connect your 8051 hardware to the μVision2
Debugger. You can use the powerful debugging interface to test application programs in your target
hardware.
ABC_FDTD_Die(T) Implements simulation of a Gaussian Pulse
over T time steps. ABC are for free space. If boundaries are in
the Dielectric medium then the ABC fail. Dielectric medium begin and
end can be specified with the code
ABC_FDTD_Die(T) Implements simulation of a Gaussian Pulse
over T time steps. ABC are for free space. If boundaries are in
the Dielectric medium then the ABC fail. Dielectric medium begin and
end can be specified with the code
